FROM THE TRENCHES Issue №288

Practical decisions for AI and software

Technical guides to choose models, verify software and plan delivery.

Latest articles

New comparisons, practical guides and engineering lessons.

Anthropic rejects an open-weights ban while model competition changes enterprise AI costs AI & Agents

Anthropic Says No Open-Weights Ban. The Cost War Is Still Real.

Anthropic explicitly rejects a protectionist open-weights ban while seeking action against illicit industrial distillation. What its policy, Coinbase's first-party cost report, and EU rules actually mean for buyers.

Agile De-engineering and the erosion of engineering culture in the enterprise Delivery & QA

Agile De-engineering

How a movement built to liberate engineers came to erode engineering culture in the enterprise. Alexandre Kotcherguine and Kevin Riedl trace the commercialisation, ritual capture, metric inversion, and craft erosion behind it.

What an internal AI assistant costs in DACH 2026 AI & Agents

What an Internal AI Assistant Actually Costs in the DACH Region (2026)

Embeddings, vector DB, tokens, hosting, and the maintenance line everyone forgets. A directional per-seat cost breakdown for a DACH internal AI assistant.

Minimum credible product replacing the traditional MVP in the age of AI Product & MVP

The MVP Is Dead. Build a Minimum Credible Product.

AI can reduce prototype effort, not the need for product judgment. Avoidable roughness may damage the signal an MVP should collect. A practical case for less scope, one trustworthy path, and decision-grade evidence.

LLM gateways compared in 2026 AI & Agents

LLM Gateways Compared 2026: LiteLLM vs OpenRouter vs Portkey vs RouteLLM

One endpoint over many providers, with fallback, caching, spend limits, and routing in one place. How LiteLLM, OpenRouter, Portkey, and RouteLLM differ, and how to choose on the constraint that binds you.

Self-hosting open-weight LLMs in the EU AI & Agents

Self-Hosting LLMs in the EU: When Open Weights Actually Pay Off

The GPU is the cheap part. Here is the real cost of self-hosting open weights, a defensible break-even formula, the GDPR trade-offs, and the vLLM production stack.

Open-weight LLM comparison 2026: DeepSeek vs Qwen vs Kimi vs GLM vs Llama AI & Agents

Open-Weight LLMs 2026: DeepSeek, Qwen, Kimi, GLM, Llama and Muse

Compare open-weight LLMs in October 2026: DeepSeek, Qwen, Kimi, GLM, Llama and Muse. Exact licenses, local versus cluster hardware and evaluation criteria.

An honest guide to AI consulting in Austria 2026 Business & Regulation

AI Consulting in Austria 2026: An Honest Guide for SMEs

AI consulting in Austria: realistic scoping costs, SME use cases, AI Act duties and October 2026 funding status, including the end of KMU.DIGITAL.

Why context, not intelligence, was the real bottleneck in software AI & Agents

The Bottleneck Was Never Intelligence. It Was Context.

Rakuten reported a seven-hour Claude Code session on vLLM with 99.9% numerical accuracy for one method. What the vendor case study shows, what it does not, and how to build a reviewable agent workflow.

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